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Implementing a Data Warehouse with Microsoft SQL Server 2014
 Implementing a Data Warehouse with Microsoft SQL Server 2014
 

20463: IMPLEMENT A DATA WAREHOUSE WITH SQL SERVER

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A hands-on five-day course with free pre-course online skills testing
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COURSE OUTLINE

Full details of modules and topics covered in this five-day course

VERSIONS COVERED

This course covers 2014 versions

DURATION

This is a five-day training course structured into 27 modules

COURSE AIMS

This intensive, hands-on 5 day course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

TARGET AUDIENCE

This course is intended for database professionals who need to create and support a data warehousing solution.
Primary responsibilities include:

  • Implementing a data warehouse.
  • Developing SSIS packages for data extraction, transformation, and loading.
  • Enforcing data integrity by using Master Data Services.
  • Cleansing data by using Data Quality Services.

Pre-requisites:
At least 2 years' experience of working with relational databases, including:

  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some exposure to basic programming constructs (such as looping and branching).

An awareness of key business priorities such as revenue, profitability, and financial accounting is also desirable.

This is an authorised Microsoft training course, delivered by certified Microsoft trainers at fully equipped centres using the latest equipment, software and course materials. There is no better way to undertake your training, to maximise your learning and ensure the highest marks possible in your certification exams.


Delegates will learn how to:

  • Describe data warehouse concepts and architecture considerations.
  • Select an appropriate hardware platform for a data warehouse.
  • Design and implement a data warehouse.
  • Implement Data Flow in an SSIS Package.
  • Implement Control Flow in an SSIS Package.
  • Debug and Troubleshoot SSIS packages.
  • Implement an ETL solution that supports incremental data extraction.
  • Implement an ETL solution that supports incremental data loading.
  • Implement data cleansing by using Microsoft Data Quality Services.
  • Implement Master Data Services to enforce data integrity.
  • Extend SSIS with custom scripts and components.
  • Deploy and Configure SSIS packages.
  • Describe how BI solutions can consume data from the data warehouse.


This course helps people to prepare for exam 70-463.


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MODULE 1:  Introduction to Data Warehousing
Topics covered:
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
MODULE 2:  Lab : Exploring a Data Warehousing Solution
Topics covered:
  • Exploring Data Sources
  • Exploring and ETL Process
  • Exploring a Data Warehouse
MODULE 3:  Planning Data Warehouse Infrastructure
Topics covered:
  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware
MODULE 4:  Lab : Planning Data Warehouse Infrastructure
Topics covered:
  • Planning Data Warehouse Hardware
MODULE 5:  Designing and Implementing a Data Warehouse
Topics covered:
  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • Physical Design for a Data Warehouse
MODULE 6:  Lab : Implementing a Data Warehouse
Topics covered:
  • Implement a Star Schema
  • Implement a Snowflake Schema
  • Implement a Time Dimension
MODULE 7:  Creating an ETL Solution with SSIS
Topics covered:
  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow
MODULE 8:  Lab : Implementing Data Flow in an SSIS Package
Topics covered:
  • Exploring Data Sources
  • Transferring Data by Using a Data Flow Task
  • Using Transformations in a Data Flow
MODULE 9:  Implementing Control Flow in an SSIS Package
Topics covered:
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency
MODULE 10:  Lab : Implementing Control Flow in an SSIS Package
Topics covered:
  • Using Tasks and Precedence in a Control Flow
  • Using Variables and Parameters
  • Using Containers
MODULE 11:  Lab : Using Transactions and Checkpoints
Topics covered:
  • Using Transactions
  • Using Checkpoints
MODULE 12:  Debugging and Troubleshooting SSIS Packages
Topics covered:
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
MODULE 13:  Lab : Debugging and Troubleshooting an SSIS Package
Topics covered:
  • Debugging an SSIS Package
  • Logging SSIS Package Execution
  • Implementing an Event Handler
  • Handling Errors in a Data Flow
MODULE 14:  Implementing a Data Extraction Solution
Topics covered:
  • Planning Data Extraction
  • Extracting Modified Data
MODULE 15:  Lab : Extracting Modified Data
Topics covered:
  • Using a Datetime Column
  • Using Change Data Capture
  • Using the CDC Control Task
  • Using Change Tracking
MODULE 16:  Loading Data into a Data Warehouse
Topics covered:
  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques
MODULE 17:  Lab : Loading a Data Warehouse
Topics covered:
  • Loading Data from CDC Output Tables
  • Using a Lookup Transformation to Insert or Update Dimension Data
  • Implementing a Slowly Changing Dimension
  • Using the MERGE Statement
MODULE 18:  Enforcing Data Quality
Topics covered:
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Cleanse Data
MODULE 19:  Lab : Cleansing Data
Topics covered:
  • Creating a DQS Knowledge Base
  • Using a DQS Project to Cleanse Data
  • Using DQS in an SSIS Package
MODULE 20:  Master Data Services
Topics covered:
  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub
MODULE 21:  Lab : Implementing Master Data Services
Topics covered:
  • Creating a Master Data Services Model
  • Using the Master Data Services Add-in for Excel
  • Enforcing Business Rules
  • Loading Data Into a Model
  • Consuming Master Data Services Data
MODULE 22:  Extending SQL Server Integration Services
Topics covered:
  • Using Scripts in SSIS
  • Using Custom Components in SSIS
MODULE 23:  Lab : Using Custom Scripts
Topics covered:
  • Using a Script Task
MODULE 24:  Deploying and Configuring SSIS Packages
Topics covered:
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
MODULE 25:  Lab : Deploying and Configuring SSIS Packages
Topics covered:
  • Creating an SSIS Catalog
  • Deploying an SSIS Project
  • Running an SSIS Package in SQL Server Management Studio
  • Scheduling SSIS Packages with SQL Server Agent
MODULE 26:  Consuming Data in a Data Warehouse
Topics covered:
  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data
MODULE 27:  Lab : Using a Data Warehouse
Topics covered:
  • Exploring an Enterprise BI Solution
  • Exploring a Self-Service BI Solution

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RELATED COURSES

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COURSE OUTLINE
[Duration: five day]

20461: Querying Microsoft SQL Server 2014

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  • Lab : Working with SQL Server 2014 Tools
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  • Lab : Introduction to Transact-SQL Querying
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  • Lab : Writing Basic SELECT Statements
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  • Lab : Using Auditing and Encryption
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  • Lab : Automating SQL Server Management
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  • Lab : Using DAX to Enhance a Tabular Data Model
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MORE INFORMATION FOR
IMPLEMENTING A DATA WAREHOUSE WITH MICROSOFT SQL SERVER 2014

General Information

All SQL Server training courses use the latest content, qualified and experienced trainers, and provide delegates with the best learning experience. Training is interactive and classroom-based, and the ability to ask questions reinforces knowledge acquisition during the class.

Class Sizes

Maximum class sizes vary, but there is always adequate time for delegates to ask questions of the instructor.

How to book
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Decide on the SQL Server course you want, the date(s) you can attend, and the number of delegates involved
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Also note: If you are a private individual you must pay by credit card at the time of booking.

The confirmation process
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Your place is allocated, along with the trainer, workbooks and exercise files if appropriate
Booking confirmation
You receive an official confirmation, with joining instructions (and directions if it's at our centre)
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You receive a VAT invoice

Note: Please allow 1 - 2 working days for your confirmation and invoice.

What happens on the day

If you are coming to our centre, dress code is smart casual.   The timetable is as follows:

9:15

ARRIVAL TIME

9:30

TRAINING STARTS

11:00

MID-MORNING BREAK



1:00

ONE HOUR LUNCH BREAK

3:15

MID-AFTERNOON BREAK

4:30

WRAP UP

Note: break times can vary according to the needs of the training, and course duration for smaller class sizes are usually shorter because fewer delegates have fewer questions !

What you get

With your SQL Server training course from Activia, you get a free workbook, so you can review and revise afterwards to reinforce your knowledge.



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